Book Image

Mastering OpenCV 4 - Third Edition

By : Roy Shilkrot, David Millán Escrivá
Book Image

Mastering OpenCV 4 - Third Edition

By: Roy Shilkrot, David Millán Escrivá

Overview of this book

Mastering OpenCV, now in its third edition, targets computer vision engineers taking their first steps toward mastering OpenCV. Keeping the mathematical formulations to a solid but bare minimum, the book delivers complete projects from ideation to running code, targeting current hot topics in computer vision such as face recognition, landmark detection and pose estimation, and number recognition with deep convolutional networks. You’ll learn from experienced OpenCV experts how to implement computer vision products and projects both in academia and industry in a comfortable package. You’ll get acquainted with API functionality and gain insights into design choices in a complete computer vision project. You’ll also go beyond the basics of computer vision to implement solutions for complex image processing projects. By the end of the book, you will have created various working prototypes with the help of projects in the book and be well versed with the new features of OpenCV4.
Table of Contents (12 chapters)

Avoiding Common Pitfalls in OpenCV

OpenCV has been around for more than 15 years now. It contains many implementations that are outdated or unoptimized and are relics of the past. An advanced OpenCV engineer should know how to avoid basic mistakes in navigating the OpenCV APIs, and see their project to algorithmic success.

In this chapter, we will review the historic development of OpenCV, and the gradual increase in the framework and algorithmic offering, alongside the development of computer vision at large. We will use this knowledge to see how to figure out whether a newer alternative exists within OpenCV for our algorithm of choice. Lastly, we will discuss how to identify and avoid common problems or sub-optimal choices while creating computer vision systems with OpenCV.

The following topics will be covered in this chapter:

  • A historic review of OpenCV and the latest wave...